Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Bidding wind energy under uncertainty
The integration of wind energy into electricity markets implies that the wind energy must commit their production for a given time period. This requires the use of short term wind power prediction tools to prepare the bids for the spot market. The output of these tools have a limited accuracy, and, therefore, these predictions are uncertain. Optimal bids must take into account this uncertainty in order to get the maximum revenue from the sell of energy, minimizing losses due to imbalance costs. The consequence is that the optimal bids sent to the market do not coincide with the best predictions. Regulatory authorities must consider if this situation is good for the system operation, and encourage TSOs to have their own prediction tools and have results independent of bidding strategies. ; International Conference on Clean Electrical Power, ICCEP '07 (Capri, 21-23 May 2007). P. 754-759 ; Publicado
Bidding wind energy under uncertainty
The integration of wind energy into electricity markets implies that the wind energy must commit their production for a given time period. This requires the use of short term wind power prediction tools to prepare the bids for the spot market. The output of these tools have a limited accuracy, and, therefore, these predictions are uncertain. Optimal bids must take into account this uncertainty in order to get the maximum revenue from the sell of energy, minimizing losses due to imbalance costs. The consequence is that the optimal bids sent to the market do not coincide with the best predictions. Regulatory authorities must consider if this situation is good for the system operation, and encourage TSOs to have their own prediction tools and have results independent of bidding strategies. ; International Conference on Clean Electrical Power, ICCEP '07 (Capri, 21-23 May 2007). P. 754-759 ; Publicado
Bidding wind energy under uncertainty
Usaola García, Julio (Autor:in) / Angarita Márquez, Jorge Luis (Autor:in)
01.05.2007
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
Long Term Expected Revenue of Wind Farms Considering the Bidding Admission Uncertainty
BASE | 2016
|Optimal dispatch of heterogeneous energy complementary system under energy indifference bidding
American Institute of Physics | 2021
|The bidding strategy for renewable energy auctions under government subsidies
BASE | 2024
|